Occupational Employment Statistics

FONT SIZE:

PRINT:

OES

May 2003 National Occupational Employment and Wage Estimates

Farming, Fishing, and Forestry Occupations

SOC major groups

These estimates are calculated with data collected from employers in all industry sectors in metropolitan and non-metropolitan areas in every State and the District of Columbia. These and other data elements, including the 10th, 25th, 75th, and 90th percentile wages are available in the downloadable Excel files(XLS).

Click on the SOC Code Number to view an occupational profile.

			Wage Estimates
SOC Code Number	Occupation Title	Employment (1)	Median Hourly	Mean Hourly	Mean Annual (2)	Mean RSE (3)
45-0000	Farming, Fishing, and Forestry Occupations	461,630	$8.13	$9.71	$20,200	0.6 %
45-1011	First-Line Supervisors/Managers of Farming, Fishing, and Forestry Workers	20,620	$16.76	$18.14	$37,730	0.8 %
45-1012	Farm Labor Contractors	3,340	$7.79	$10.29	$21,390	3.9 %
45-2011	Agricultural Inspectors	13,670	$13.83	$15.09	$31,390	1.3 %
45-2021	Animal Breeders	1,750	$12.02	$14.25	$29,640	4.0 %
45-2041	Graders and Sorters, Agricultural Products	51,210	$7.78	$8.53	$17,740	0.9 %
45-2091	Agricultural Equipment Operators	21,330	$8.59	$9.47	$19,690	2.1 %
45-2092	Farmworkers and Laborers, Crop, Nursery, and Greenhouse	233,450	$7.43	$8.02	$16,670	0.7 %
45-2093	Farmworkers, Farm and Ranch Animals	42,890	$8.12	$8.84	$18,390	1.6 %
45-4011	Forest and Conservation Workers	9,170	$9.58	$11.24	$23,380	1.2 %
45-4021	Fallers	9,620	$13.46	$15.31	$31,850	3.3 %
45-4022	Logging Equipment Operators	28,190	$13.00	$13.52	$28,130	1.6 %
45-4023	Log Graders and Scalers	4,900	$13.01	$13.94	$28,990	1.9 %

About May 2003 National, State, and Metropolitan Area Occupational Employment and Wage Estimates

Estimates for residual, "All Other", occupations are not available.

(1) Estimates for detailed occupations do not sum to the totals because the totals include occupations not shown separately. Estimates do not include self-employed workers.

(2) Annual wages have been calculated by multiplying the hourly mean wage by a "year-round, full-time" hours figure of 2,080 hours; for those occupations where there is not an hourly mean wage published, the annual wage has been directly calculated from the reported survey data.

(3) The relative standard error (RSE) is a measure of the reliability of a survey statistic. The smaller the relative standard error, the more precise the estimate.

National OES estimates by SOC major group